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You searched for: Subject "fuzzy logic" Remove constraint Subject: "fuzzy logic"
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1. Testing the performances of different fuzzy overlay methods in GIS-based landslide susceptibility mapping of Udi Province, SE Nigeria

Author:
Vincent E. Nwazelibe; Chinanu O. Unigwe; Johnbosco C. Egbueri
Source:
Catena 2023 v.220 pp. 106654
ISSN:
0341-8162
Subject:
fuzzy logic,   etc   ; catenas; coal; comparative study; computer software; landslides; model validation; risk; risk analysis; statistical analysis; Nigeria;     Show all 11 Subjects
Abstract:
... Landslides are still wreaking havoc in many parts of the world. Several previous landslide susceptibility mapping (LSM) studies have proven that fuzzy logic methods provide reliable models for effective risk analysis and management. Various fuzzy operators are available for LSM. Globally, few studies conducted over a decade ago tested and compared the performances of several fuzzy operators in LSM ...
DOI:
10.1016/j.catena.2022.106654

2. Stacking different services of an energy storage system in a grid-connected microgrid

Author:
Thomas John; Ilias Sarantakos; Tiong Teck Teo
Source:
Renewable energy 2022 v.195 pp. 357-365
ISSN:
0960-1481
Subject:
fuzzy logic,   etc   ; energy; wind;     Show all 3 Subjects
Abstract:
... The objective of this paper is to develop an optimal scheduling scheme for an Energy Storage System (ESS), in a grid-connected microgrid, which is used for two main energy services, namely Operating Cost Minimization Service (OCMS) and Contracted Service (CS). OCMS refers to minimizing the overall operating cost of the microgrid. CS is a specified balancing service for the grid operator in UK to m ...
DOI:
10.1016/j.renene.2022.06.035

3. Fuzzy logic for discharge coefficient interpolation in hydraulic transients: experimental analysis

Author:
Welitom Ttatom Pereira da Silva; Ricardo Augusto Moraes Zaque; David Maycon Schimitt Rosa; Aldecy de Almeida Santos
Source:
ISH journal of hydraulic engineering 2022 v.28 no.S1 pp. 215-222
ISSN:
2164-3040
Subject:
fuzzy logic,   etc   ; evolution; sanitation;     Show all 3 Subjects
Abstract:
... Understanding hydraulic transients in real sanitation systems is extremely important, especially when developing expansion and/or adequacy projects in facilities that operate in a transitory regime. The aim of this study is to propose a discharge coefficient (Cd) interpolation model to calibrate hydraulic transients in a pipeline operating in a non-permanent regime (transitory). The proposed metho ...
DOI:
10.1080/09715010.2020.1747556

4. MOHSA-Fuzzy-Based Optimized Message Dissemination Technique for Delay Tolerant Networks

Author:
Nidhi Sonkar; Sanjay Kumar; Sudhakar Pandey
Source:
National Academy science letters 2022 v.45 no.4 pp. 325-329
ISSN:
0250-541X
Subject:
fuzzy logic,   etc   ; algorithms; wireless technology;     Show all 3 Subjects
Abstract:
... Delay Tolerant Network (DTN) is the decentralized wireless network that can enable to communicate without having end-to-end connectivity between nodes using store-carry-forward technique. We cannot use traditional routing techniques in DTN since it requires end-to-end connectivity between nodes. Earlier, authors have proposed many techniques for relay selection but haven’t ensure the storage capab ...
DOI:
10.1007/s40009-022-01129-3

5. Application of hybrid ANFIS-based non-linear regression modeling to predict the %oil yield from grape peels: Effect of process parameters and FIS generation techniques

Author:
Ololade Moses Olatunji; Ibiba Taiwo Horsfall; Erewari Ukoha-Onuoha; Keavey Osa-aria
Source:
Cleaner engineering and technology 2022 v.6 pp. 100371
ISSN:
2666-7908
Subject:
fuzzy logic,   etc   ; grapes; oils; temperature;     Show all 4 Subjects
Abstract:
... The present study evaluates the extraction process parameters of grape peel oil using non-linear hybrid Adaptive Neuro-Fuzzy Inference System (ANFIS) model. The experiments were conducted at temperature (80–100 °C), and time (5–9 h) at 5 levels with output parameter as oil yield. The experimental result and factor interaction analysis shows that temperature had the most significant effect on the o ...
DOI:
10.1016/j.clet.2021.100371

6. A hybrid method for prognostics of lithium-ion batteries capacity considering regeneration phenomena

Author:
Huixing Meng; Mengyao Geng; Jinduo Xing; Enrico Zio
Source:
Energy 2022 v.261 pp. 125278
ISSN:
0360-5442
Subject:
fuzzy logic,   etc   ; energy; lithium batteries; prediction;     Show all 4 Subjects
Abstract:
... Prognostics and health management (PHM) is crucial to the reliability and safety of lithium-ion batteries. In this respect, the capacity regeneration phenomenon that occurs during the process of battery degradation brings a challenge to the accuracy of capacity prediction. In this paper, a hybrid method is proposed for the accurate prediction of lithium-ion batteries capacity considering regenerat ...
DOI:
10.1016/j.energy.2022.125278

7. Hierarchical speed planning and energy management for autonomous plug-in hybrid electric vehicle in vehicle-following environment

Author:
Yonggang Liu; Bin Huang; Yang Yang; Zhenzhen Lei; Yuanjian Zhang; Zheng Chen
Source:
Energy 2022 v.260 pp. 125212
ISSN:
0360-5442
Subject:
fuzzy logic,   etc   ; algorithms; energy; vehicles (equipment);     Show all 4 Subjects
Abstract:
... In this paper, a hierarchical energy management control strategy is investigated for autonomous plug-in hybrid electric vehicle in vehicle-following environment. With the target of safety and comfort, the designed algorithm is divided into two layers. The grey neural network is leveraged in the upper layer controller to predict the future speed trend of preceding vehicle, and the target speed of e ...
DOI:
10.1016/j.energy.2022.125212

8. Fuzzy system for assessing bovine fertility according to semen characteristics

Author:
Luana Possari Maziero; Marcelo George Mungai Chacur; Camila Pires Cremasco; Fernando Ferrari Putti; Luís Roberto Almeida Gabriel Filho
Source:
Livestock science 2022 v.256 pp. 104821
ISSN:
1871-1413
Subject:
fuzzy logic,   etc   ; animal reproduction; decision making;     Show all 3 Subjects
Abstract:
... In order to maintain the competitiveness of Brazilian livestock, producers are looking for tools to help in the decision-making process in favor of enhancing production management, improving the handling of livestock, and reducing costs. Therefore, the objective of the present work was to elaborate a mathematical model based on fuzzy logic that would be able to provide a bovine fertility score, ba ...
DOI:
10.1016/j.livsci.2022.104821

9. Market Assessment of Pear Varieties in Serbia Using Fuzzy CRADIS and CRITIC Methods

Author:
Adis Puška; Miroslav Nedeljković; Radivoj Prodanović; Radovan Vladisavljević; Radmila Suzić
Source:
Agriculture (Basel) 2022 v.12 no.2 pp. -
ISSN:
2077-0472
Subject:
fuzzy logic,   etc   ; agriculture; fruits; markets; pears; Serbia;     Show all 6 Subjects
Abstract:
... The research deals with the market assessment of pear varieties in Serbia. Market assessment represents the willingness of customers to consume a certain fruit or a certain variety. This research applies a market assessment of pear varieties based on expert decision making. Together with the experts, the criteria and varieties of pears used in the research are determined. Ten criteria and six vari ...
DOI:
10.3390/agriculture12020139

10. CE-oriented culture readiness: An assessment approach based on maturity models and fuzzy set theories

Author:
Ana Carolina Bertassini; Lucas Daniel Del Rosso Calache; Luiz César Ribeiro Carpinetti; Aldo Roberto Ometto; Mateus Cecilio Gerolamo
Source:
Sustainable Production and Consumption 2022 v.31 pp. 615-629
ISSN:
2352-5509
Subject:
fuzzy logic,   etc   ; circular economy; decision making; radar;     Show all 4 Subjects
Abstract:
... Moving towards a Circular Economy (CE) requires systemic changes across organizations, technological and cultural changes. However, there is a lack of studies in the literature on guidelines and tools specifically focused on helping organizations to identify the aspects that could be improved to implement a CE-oriented culture. Thus, this paper aims to propose a fuzzy logic-based approach to asses ...
DOI:
10.1016/j.spc.2022.03.018

11. Artificial intelligence-incorporated membrane fouling prediction for membrane-based processes in the past 20 years: A critical review

Author:
Chengxin Niu; Xuesong Li; Ruobin Dai; Zhiwei Wang
Source:
Water research 2022 v.216 pp. 118299
ISSN:
0043-1354
Subject:
fuzzy logic,   etc   ; databases; microfiltration; prediction; research; water;     Show all 6 Subjects
Abstract:
... Membrane fouling is one of major obstacles in the application of membrane technologies. Accurately predicting or simulating membrane fouling behaviours is of great significance to elucidate the fouling mechanisms and develop effective measures to control fouling. Although mechanistic/mathematical models have been widely used for predicting membrane fouling, they still suffer from low accuracy and ...
DOI:
10.1016/j.watres.2022.118299

12. A meta-analysis approach to measure the impact of project-based learning outcome with program attainment on student learning using fuzzy inference systems

Author:
Mukta Goyal; Chetna Gupta; Varun Gupta
Source:
Heliyon 2022 v.8 no.8 pp. e10248
ISSN:
2405-8440
Subject:
fuzzy logic,   etc   ; decision making; education; meta-analysis;     Show all 4 Subjects
Abstract:
... This paper presents a fuzzy inference method to investigate the impact of project-based assessment on the desirable outcomes by analyzing students creative and critical thinking, collaborative decision-making, and communication skills with realistic constraints and standards through theory and practical implementation in (a) course attainment and (b) on overall program attainment carried out in en ...
DOI:
10.1016/j.heliyon.2022.e10248

13. Artificial intelligence techniques in extracting building and tree footprints using aerial imagery and LiDAR data

Author:
Saeideh Sahebi Vayghan; Mohammad Salmani; Neda Ghasemkhani; Biswajeet Pradhan; Abdullah Alamri
Source:
Geocarto international 2022 v.37 no.10 pp. 2967-2995
ISSN:
1752-0762
Subject:
fuzzy logic,   etc   ; algorithms; automation; lidar; remote sensing; trees;     Show all 6 Subjects
Abstract:
... One of the most important considerations in urban environments is the extraction of urban objects, with a high automation level. This study aims to present a new method which uses aerial images and LiDAR data to extract buildings and trees footprint in urban areas. In this study, high-elevation objects were extracted from the LiDAR data using the developed scan labeling method, and then the classi ...
DOI:
10.1080/10106049.2020.1844311

14. A novel hybrid-point-line energy management strategy based on multi-objective optimization for range-extended electric vehicle

Author:
Hanwu Liu; Yulong Lei; Yao Fu; Xingzhong Li
Source:
Energy 2022 v.247 pp. 123357
ISSN:
0360-5442
Subject:
fuzzy logic,   etc   ; algorithms; batteries; durability; electric vehicles; energy;     Show all 6 Subjects
Abstract:
... To achieve the optimal energy allocation for the auxiliary power unit (APU) and battery of a range-extended electric vehicle, a novel hybrid-point-line energy management strategy (H–P-LEMS) has been proposed from a multi-scale view. First, a multi-objective optimization (MOO) model is established which takes into account energy consumption, emissions and battery life. The barebones multi-objective ...
DOI:
10.1016/j.energy.2022.123357

15. A blockchain-enabled trust aware energy trading framework using games theory and multi-agent system in smat grid

Author:
M. Zulfiqar; M. Kamran; M.B. Rasheed
Source:
Energy 2022 v.255 pp. 124450
ISSN:
0360-5442
Subject:
fuzzy logic,   etc   ; blockchain; deformation; electrical equipment; energy; immunity;     Show all 6 Subjects
Abstract:
... Recently, multi-agent systems (MASs) have received attention due to the consideration of distributed optimization and control in blockchain (BC) based energy trading applications. However, due to the dynamic behavior of uncertain and random variables, the coordination and control of MAS are still challenging to attain resilience and dynamicity. Traditional trust systems, which rely on access contr ...
DOI:
10.1016/j.energy.2022.124450

16. Fusion of interval-valued neutrosophic sets and financial assessment for optimal renewable energy portfolios with uncertainties

Author:
Tuyet Thi Anh Nguyen; Shuo-Yan Chou
Source:
Energy & environment 2022 v.33 no.4 pp. 783-808
ISSN:
2048-4070
Subject:
fuzzy logic,   etc   ; energy; environment; solar energy; wind power;     Show all 5 Subjects
Abstract:
... Renewable energy has been actively researched and developed in many countries to replace the conventional energy resources that come from fossil fuels. As social and environmental awareness of the renewable energy has grown, it is essential to address both quantitative factors and qualitative factors in determination of the optimal renewable energy portfolio. This paper proposes a novel approach t ...
DOI:
10.1177/0958305X211019363

17. Detection of defects in fabrics using information set features in comparison with deep learning approaches

Author:
Parul Arora; Madasu Hanmandlu
Source:
The journal of the Textile Institute 2022 v.113 no.2 pp. 266-272
ISSN:
1754-2340
Subject:
fuzzy logic,   etc   ; algorithms; energy; fabrics; oils; silk; texture; uncertainty;     Show all 8 Subjects
Abstract:
... In this paper, a novel method based on information set theory is proposed to detect defects in fabric texture. Information set extends the fuzzy set by finding the uncertainty associated with the attribute values. By applying the information set theory on the defective fabric images, five new features are obtained. These features are Effective Information, Energy, Sigmoid, Shannon Transform and Co ...
DOI:
10.1080/00405000.2020.1870326

18. Enhancement of output power of semitransparent photovoltaic thermal air collector using ANFIS model

Author:
Ruby Beniwal; Narendra Singh Beniwal; Hari Om Gupta
Source:
Environmental science and pollution research 2022 v.29 no.29 pp. 44378-44390
ISSN:
0944-1344
Subject:
fuzzy logic,   etc   ; air; pollution; research; solar collectors; temperature; weather;     Show all 7 Subjects
Abstract:
... The paper aims to develop a model using adaptive neuro-fuzzy inference system (ANFIS) architecture for enhancing output power of semitransparent photovoltaic thermal (PV/T) air collector by predicting the failure of PV panels for different weather conditions and different climate zones. Increased temperature of the photovoltaic module is a big problem which reduces its working life. The working an ...
DOI:
10.1007/s11356-022-18521-7

19. Bioretention Systems Optimization and Design Characterization Model Using Fuzzy Rough Set Theory

Author:
Fredelino A. Galleto; Melvin K. Cabatuan; Aaron Don M. Africa; Marla C. Maniquiz-Redillas; Jay M. Navaluna; John Christian Q. Herrera; Aristotle T. Ubando; Alvin B. Culaba; Mark Christian Felipe R. Redillas
Source:
Water 2022 v.14 no.13 pp. -
ISSN:
2073-4441
Subject:
fuzzy logic,   etc   ; Weibull statistics; algorithms; basins; filtration; rain; stormwater;     Show all 7 Subjects
Abstract:
... Urban stormwater has become a persistent concern on a global scale due to its adverse environmental implications. It is the prime vector of aquatic contaminants worldwide that causes pollutants when water bodies drain. Bioretention systems are increasingly used to alleviate setbacks associated with stormwater run-off in urban locales. It has played a substantial role in the implementation of low i ...
DOI:
10.3390/w14132037

20. Z-number-based AQI in rough set theoretic framework for interpretation of air quality for different thresholds of PM2.5 and PM10

Author:
Debashree Dutta; Sankar K. Pal
Source:
Environmental monitoring and assessment 2022 v.194 no.9 pp. 653
ISSN:
0167-6369
Subject:
fuzzy logic,   etc   ; air; air quality; decision support systems; prediction;     Show all 5 Subjects
Abstract:
... Kolkata has a reputation for being one of the world’s most polluted cities, particularly in the post-monsoon months of October, November, and December. Diwali, a Hindu festival, coincides with these months where a large number of firecrackers are set off followed by high emissions of air pollutants. As a result, the air quality index (AQI) deteriorates to “very poor” (301 ≤ AQI ≤ 400) and “poor” ( ...
DOI:
10.1007/s10661-022-10325-z